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Point Clouds — Record Quality Audit + Explicit Missing-Value Fill
x402
Point Clouds — Record Quality Audit + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Audits point cloud records (point_count, file_mb) for quality issues and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Point clouds — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied point clouds records (point_count, file_mb). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: one quality audit flagging record-level issues in the supplied point cloud data, and one explicit missing-value fill report showing imputed values for the chosen field (point_count or file_mb) using the selected method (zero, mean, or median). Results are based solely on the supplied rows (up to 200) with no external data or live lookups.
Example use cases
LiDAR survey data quality check
“I have 120 rows of LiDAR survey scan records with point_count and file_mb fields — some values are null. Can you run a quality audit on them and fill in the missing point_count values using median imputation?”
Aerial mapping dataset cleanup
“My aerial mapping dataset has 80 point cloud records with missing file_mb values. Please audit the data quality and fill those gaps using the mean of the existing file_mb values.”
Asset group scan validation
“I need to validate point cloud records across two asset groups — group-alpha and group-beta — for about 150 rows. Run a quality audit and fill any missing point_count values with zero so I can see the full picture.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-22-019?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular point cloud metadata (point_count, file_mb per row) that needs both a quality audit and missing-value imputation in a single call, without requiring any live data lookup, prediction, or external integration. It is ideal for batch preprocessing of LiDAR or 3D scan datasets before downstream analysis, especially when a lightweight, low-cost ($0.01 USDC) solution for up to 200 rows is sufficient.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, asset_group, date) — schema error
- Numeric values outside allowed range — validation failure
- Invalid method enum value — schema rejection
- Empty rows array — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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